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planning, geography, public policy, applied economics, or engineering. The ideal candidate will have background in urban freight research, strong skills in research design, data collection and management
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Computer Engineering within the USC Viterbi School of Engineering. The ideal candidate will have an extensive background in one or more of the following areas: Information theory, structured statistics
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genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology. Through the Laboratory of FMRI Technology (LOFT) and Laboratory of Neuro
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letter, curriculum vitae and the names and contact information of three references to zhaoxiaq@usc.edu. Successful candidates will be offered competitive stipend/health insurance commensurate with
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letter, curriculum vitae and the names and contact information of three references to zhaoxiaq@usc.edu. Successful candidates will be offered competitive stipend/health insurance commensurate with
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generation data-driven stochastic and distributionally robust optimization methodologies or (ii) develop advanced fairness promoting stochastic optimization frameworks. In coordination with Prof. Shehadeh
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cognition in India. The successful candidate will actively contribute to research activities across the team’s portfolio of projects. A primary focus will be on the second wave of data collection
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conducting highly technical and complex research projects under the direction of Dr. Chai. The scholar will also analyze research data, provide interpretations, contribute to the development of research
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conducting highly technical and complex research projects under the direction of Dr. Paine. The scholar will also analyze research data, provide interpretations, contribute to the development of research
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conducting highly technical and complex research projects under the direction of Dr. Paine. The scholar will also analyze research data, provide interpretations, contribute to the development of research